airfocus MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Create Airfocus Item, Get Airfocus Item, List Airfocus Fields, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect airfocus through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The airfocus app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using airfocus, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About airfocus MCP Server
Connect your airfocus account to any AI agent and take full control of your product management and strategic roadmapping workflows through natural conversation.
The Vercel AI SDK gives every airfocus tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Workspace & Roadmap Orchestration — List all strategic workspaces programmatically, retrieving detailed metadata and custom fields tailored for every product board
- Item Lifecycle Management — Programmatically create and update tasks, features, and initiatives, monitoring status transitions and high-fidelity descriptions in real-time
- Prioritization Intelligence — Retrieve and update prioritization scores and custom field data to coordinate your product strategy and team alignment perfectly
- Cross-functional Sync — Ensure your engineering context matches product roadmaps by querying specific item details directly through your agent
- Infrastructure Monitoring — Access high-fidelity metadata for your workspaces and manage field definitions to maintain a perfectly coordinated project environment
The airfocus MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 airfocus tools available for Vercel AI SDK
When Vercel AI SDK connects to airfocus through Vinkius, your AI agent gets direct access to every tool listed below — spanning airfocus, product-management-api, roadmaps-orchestration, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create an item
Get item details
List custom fields
List workspace items
List all workspaces
Update an item
Connect airfocus to Vercel AI SDK via MCP
Follow these steps to wire airfocus into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the airfocus MCP Server
Vercel AI SDK provides unique advantages when paired with airfocus through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same airfocus integration everywhere
Built-in streaming UI primitives let you display airfocus tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
airfocus + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the airfocus MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query airfocus in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate airfocus tools and return structured JSON responses to any frontend
Chatbots with tool use: embed airfocus capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with airfocus through natural language queries
Example Prompts for airfocus in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with airfocus immediately.
"List all items in the 'Product Roadmap' workspace (ID: '123')."
"Create a new feature 'User Analytics' in workspace '123'."
"Show the custom fields for workspace '123'."
Troubleshooting airfocus MCP Server with Vercel AI SDK
Common issues when connecting airfocus to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpairfocus + Vercel AI SDK FAQ
Common questions about integrating airfocus MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.